Vehicle tracking using a microwave radar for situation awareness

Seongkeun Park, Jae Pil Hwang, Euntai Kim, Hyung Jin Kang

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)


In this paper, a probabilistic target vehicle tracking method is proposed for situation awareness of intelligent cruise control (ICC) vehicle. The ICC vehicle considered herein is equipped with a 24 GHz microwave radar for tracking the preceding vehicle. To overcome the severe dispersion and noise of the microwave radar, a statistical model for the radar is built and it is applied to the hybrid particle filter. The hybrid particle filter is combined with the interacting multiple models (IMM) to track the preceding vehicle and predict the driver's intention. Furthermore, the modified hybrid particle filter is proposed to cope with the missing or multiple measurements of the microwave radar. Finally, a computer simulation is conducted and the validity of the proposed method is demonstrated.

Original languageEnglish
Pages (from-to)383-395
Number of pages13
JournalControl Engineering Practice
Issue number4
Publication statusPublished - 2010 Apr

Bibliographical note

Funding Information:
This work was supported by Grant number R01-2006-000-11016-0 from Basic Research Program of the Korea Science & Engineering Foundation .

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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